A Hybrid Approach to Fault Detection and Isolation Merging Analytical Redundancy and Neural Network Techniques

A Hybrid Approach to Fault Detection and Isolation Merging Analytical Redundancy and Neural Network Techniques
Author: J. Wesley Hines
Publisher:
Total Pages: 740
Release: 1994
Genre:
ISBN:

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A Hybrid Approach to Fault Detection and Isolation Merging Analytical Redundancy and Neural Network Techniques
Language: en
Pages: 740
A Hybrid Approach for Power Plant Fault Diagnostics
Language: en
Pages: 283
Authors: Tamiru Alemu Lemma
Categories: Technology & Engineering
Type: BOOK - Published: 2017-12-30 - Publisher: Springer

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This book provides a hybrid approach to fault detection and diagnostics. It presents a detailed analysis related to practical applications of the fault detectio
Fault Detection and Diagnosis Using Hybrid Artificial Neural Network Based Method
Language: en
Pages:
Authors: Alibek Kopbayev
Categories:
Type: BOOK - Published: 2022 - Publisher:

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This thesis proposes a novel approach to fault detection and diagnosis (FDD) that is focused on artificial neural network (ANN). Unlike traditional methods for
Dissertation Abstracts International
Language: en
Pages: 778
Authors:
Categories: Dissertations, Academic
Type: BOOK - Published: 1995 - Publisher:

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Model- and Data-driven Approaches to Fault Detection and Isolation in Complex Systems
Language: en
Pages:
Authors: Hamed Khorasgani
Categories: Electronic dissertations
Type: BOOK - Published: 2018 - Publisher:

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